Semi-supervised contrastive learning for label-efficient medical image segmentation

X Hu, D Zeng, X Xu, Y Shi - … , Strasbourg, France, September 27–October 1 …, 2021 - Springer
The success of deep learning methods in medical image segmentation tasks heavily
depends on a large amount of labeled data to supervise the training. On the other hand, the …
被引用次数：124 相关文章

Semi-supervised Contrastive Learning for Label-Efficient Medical Image Segmentation

X Hu, D Zeng, X Xu, Y Shi - … on Medical Image Computing and Computer …, 2021 - dl.acm.org
The success of deep learning methods in medical image segmentation tasks heavily
depends on a large amount of labeled data to supervise the training. On the other hand, the …

Semi-supervised Contrastive Learning for Label-efficient Medical Image Segmentation

X Hu, D Zeng, X Xu, Y Shi - arXiv e-prints, 2021 - ui.adsabs.harvard.edu
The success of deep learning methods in medical image segmentation tasks heavily
depends on a large amount of labeled data to supervise the training. On the other hand, the …

Semi-supervised Contrastive Learning for Label-efficient Medical Image Segmentation

X Hu, D Zeng, X Xu, Y Shi - arXiv preprint arXiv:2109.07407, 2021 - arxiv.org
The success of deep learning methods in medical image segmentation tasks heavily
depends on a large amount of labeled data to supervise the training. On the other hand, the …